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Canadian Net Real Estate Investment Trust Stock Price Chart

  • The current trend is moderately bullish and NET.UN.V is experiencing selling pressure, which indicates risk of future bearish movement.

Canadian Net Real Estate Investment Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.54 Sell
20-day SMA: 5.49 Buy
50-day SMA: 5.46 Buy
200-day SMA: 5.43 Buy
8-day EMA: 5.53 Sell
20-day EMA: 5.5 Buy
50-day EMA: 5.48 Buy
200-day EMA: 5.44 Buy

Canadian Net Real Estate Investment Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.03 Buy
Relative Strength Index (14 RSI): 52.27 Buy
Chaikin Money Flow: -7484 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.43 - 5.53) Buy
Bollinger Bands (100): (5.44 - 5.56) Buy

Canadian Net Real Estate Investment Trust Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Canadian Net Real Estate Investment Trust Stock

Is Canadian Net Real Estate Investment Trust Stock a Buy?

NET.UN.V Technical Analysis vs Fundamental Analysis

Sell
16
Canadian Net Real Estate Investment Trust (NET.UN.V) is a Sell

Is Canadian Net Real Estate Investment Trust a Buy or a Sell?

Canadian Net Real Estate Investment Trust Stock Info

Market Cap:
113.5M
Price in USD:
5.51
Share Volume:
7.5K

Canadian Net Real Estate Investment Trust 52-Week Range

52-Week High:
5.72
52-Week Low:
4.97
Sell
16
Canadian Net Real Estate Investment Trust (NET.UN.V) is a Sell

Canadian Net Real Estate Investment Trust Share Price Forecast

Is Canadian Net Real Estate Investment Trust Stock a Buy?

Technical Analysis of Canadian Net Real Estate Investment Trust

Should I short Canadian Net Real Estate Investment Trust stock?

* Canadian Net Real Estate Investment Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.